Probability distributions are, by definition, not necessarily deterministic. Relations are, by definition, not necessarily deterministic. NOTE: I'm not going along with Codd's restriction that there be no duplicate cases. You get statistics by projecting high dimensional data (where every datum is unique) to a lower dimension by hiding columns (aka properties) of the thing in itself via "observation" which can only be from a limited perspective.
Functions are deterministic, degenerate, N:1 relations. Procedures are degenerate functions that map the current global state to the next state. Turing machines are procedural. Why would anyone think they can get away with a theory of AGI based on anything but relations? ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/T989bab9de3c03132-M0968727ce8a93a2096bd0ed7 Delivery options: https://agi.topicbox.com/groups/agi/subscription
